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OSA Publishing

1 April 2021, Volume 13, Issue 4, pp. MLAQ1-MLAQ2; B1 -B101   10 articles

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Introduction

Introduction to the JOCN Special Issue on Machine Learning Applied to QoT Estimation in Optical Networks

J. Opt. Commun. Netw. 13(4), MLAQ1-MLAQ2 (2021)  View: HTML | PDF

Review

Machine learning techniques for quality of transmission estimation in optical networks

J. Opt. Commun. Netw. 13(4), B60-B71 (2021)  View: HTML | PDF

Research Articles

Performance studies of evolutionary transfer learning for end-to-end QoT estimation in multi-domain optical networks [Invited]

J. Opt. Commun. Netw. 13(4), B1-B11 (2021)  View: HTML | PDF

Fast signal quality monitoring for coherent communications enabled by CNN-based EVM estimation

J. Opt. Commun. Netw. 13(4), B12-B20 (2021)  View: HTML | PDF

Towards vendor-agnostic real-time optical network design with extended Kalman state estimation and recurrent neural network machine learning [Invited]

J. Opt. Commun. Netw. 13(4), B21-B34 (2021)  View: HTML | PDF

Performance comparisons between machine learning and analytical models for quality of transmission estimation in wavelength-division-multiplexed systems [Invited]

J. Opt. Commun. Netw. 13(4), B35-B44 (2021)  View: HTML | PDF

Quality of transmission estimator retraining for dynamic optimization in optical networks

J. Opt. Commun. Netw. 13(4), B45-B59 (2021)  View: HTML | PDF

Lightpath QoT computation in optical networks assisted by transfer learning

J. Opt. Commun. Netw. 13(4), B72-B82 (2021)  View: HTML | PDF

Machine-learning-based EDFA gain estimation [Invited]

J. Opt. Commun. Netw. 13(4), B83-B91 (2021)  View: HTML | PDF

Machine learning regression for QoT estimation of unestablished lightpaths

J. Opt. Commun. Netw. 13(4), B92-B101 (2021)  View: HTML | PDF

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